Remote Big Data Engineer: Spark, Hadoop & Analytics

Bright Vision Technologies

Hillsboro (OR)

Remote

USD 90,000 - 110,000

Full time

7 days ago

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Job summary

Bright Vision Technologies is seeking a Big Data Engineer to design, build, and operate large-scale data processing pipelines on Hadoop and related ecosystems. This remote, 100% U.S.-based role focuses on ingesting, transforming, and analyzing massive datasets to support analytics, ML, and reporting workloads.

The ideal candidate has 6+ years of experience with Spark (Scala, Python, or Java), Hive, HDFS, Kafka, and orchestration tools like Airflow or Oozie.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
Five or more years of professional experience designing and operating big-data pipelines on Hadoop.
Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
Strong SQL skills and experience working with both relational and NoSQL data stores.
Experience with workflow orchestration tools such as Airflow or Oozie.
Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
Strong scripting skills in Python or Shell.
Excellent troubleshooting, debugging, and documentation skills.